AI tool
redu.cloud
redu.cloud lets AI agents provision and tear down machines through an MCP-only interface, with no human dashboard. It is built for teams that want agents, not people, as the primary users of their infrastructure tooling.
About redu.cloud
redu.cloud is a cloud computing platform built for AI agents, launched this week. Agents get stateful resources through an MCP-only interface, and the makers describe the system as running machines at agent speed rather than human speed. The free tier includes 1 VM and 1 Postgres instance.
Review
redu.cloud targets a specific bottleneck: infrastructure work that makes agents wait. The founders rebuilt cloud orchestration so that provisioning and teardown happen close to instantly for agents, which they say makes autonomous agentic DevOps reliable and large stateful ML training possible in hours. The platform is new, MCP-only, and aimed at people already running agents like Claude Code against real infrastructure.
Key Features
- MCP-only interface: agents reach the platform through the Model Context Protocol; there is no human-first dashboard acting as the primary interface.
- Fast stateful resources: agents provision VMs and Postgres instances at the speed they operate, not the speed a person waits.
- Resource-level tracking: resources record everything agents do, which the makers say also handles multiple agents working on the same task.
- Spending caps: a budget ceiling can be defined per account.
- Human oversight: logs are visible in the dashboard, resources can be deleted from it, and manual access such as SSH remains available.
Pricing and Value
The free tier is stated plainly: 1 VM and 1 Postgres instance, 100% free, MCP only. Paid tiers and their prices are not yet defined in the available material. A per-account spending cap exists, so cost control is part of the product rather than something you bolt on. The value case rests on time saved during deployments, DevOps work, stateful model training, and live incident fixes.
Pros
- Free tier lets you test the platform with a real VM and Postgres instance at no cost.
- Provisioning speed matches how agents actually work, which cuts the watching-and-waiting loop the founders describe.
- Resources track what agents do, giving a trail for multi-agent tasks.
- Spending caps and dashboard deletion give humans a way to stop runaway usage.
- Manual access via SSH means you aren't locked out of your own infrastructure.
Cons
- MCP-only access means teams without an MCP-capable agent setup have no path onto the platform.
- It launched this week, so real-world reliability and edge cases are largely untested by outside users.
- Not well suited to teams that want a traditional human-first cloud console or GUI-driven workflows.
redu.cloud fits developers and infrastructure engineers already running agentic tools like Claude Code who need stateful resources without babysitting provisioning. Teams that prefer a conventional cloud dashboard, or that haven't adopted MCP, should wait until the platform matures and pricing is published.
